A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.15866/iremos.v8i2.4047 http://hdl.handle.net/11449/232428 |
Resumo: | The transmission expansion planning (TEP) problem in modern power systems is a large-scale, mixed-integer, non-linear, and non-convex problem. The problem becomes even more complicated when the security constraints are taken into account as in some large-scale systems, finding the optimal solution is inaccessible. This paper presents a novel mathematical model to solve the security constraints of transmission system expansion planning problem via a constructive heuristic algorithm (CHA). The proposed CHA is extended to multi-stage planning. The basic idea comes from Garver’s work applied to the transportation model. Nevertheless, the proposed algorithm works with a hybrid linear model. The proposed CHA finds an acceptable solution in an iterative process, where in each step, a circuit is chosen by using a sensitivity index and is subsequently added to the system. Moreover, several simulation studies and tests were carried out on Garver, the South Brazilian system, and the North Brazilian system, to demonstrate the effectiveness of the proposed methodology. |
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A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraintsConstructive Heuristic AlgorithmMixed-Integer Non-Linear ProgrammingMultistage Transmission Expansion PlanningN-1 SecurityThe transmission expansion planning (TEP) problem in modern power systems is a large-scale, mixed-integer, non-linear, and non-convex problem. The problem becomes even more complicated when the security constraints are taken into account as in some large-scale systems, finding the optimal solution is inaccessible. This paper presents a novel mathematical model to solve the security constraints of transmission system expansion planning problem via a constructive heuristic algorithm (CHA). The proposed CHA is extended to multi-stage planning. The basic idea comes from Garver’s work applied to the transportation model. Nevertheless, the proposed algorithm works with a hybrid linear model. The proposed CHA finds an acceptable solution in an iterative process, where in each step, a circuit is chosen by using a sensitivity index and is subsequently added to the system. Moreover, several simulation studies and tests were carried out on Garver, the South Brazilian system, and the North Brazilian system, to demonstrate the effectiveness of the proposed methodology.Universidade Estadual PaulistaDepartment at the Universidade Estadual PaulistaUniversidade Estadual PaulistaDepartment at the Universidade Estadual PaulistaUniversidade Estadual Paulista (UNESP)Khorasani, Hamid [UNESP]Romero, Rubén [UNESP]2022-04-29T16:11:49Z2022-04-29T16:11:49Z2015-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article154-164http://dx.doi.org/10.15866/iremos.v8i2.4047International Review on Modelling and Simulations, v. 8, n. 2, p. 154-164, 2015.2533-17011974-9821http://hdl.handle.net/11449/23242810.15866/iremos.v8i2.40472-s2.0-84938088807Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Review on Modelling and Simulationsinfo:eu-repo/semantics/openAccess2024-07-04T19:06:04Zoai:repositorio.unesp.br:11449/232428Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:57:02.312561Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints |
title |
A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints |
spellingShingle |
A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints Khorasani, Hamid [UNESP] Constructive Heuristic Algorithm Mixed-Integer Non-Linear Programming Multistage Transmission Expansion Planning N-1 Security |
title_short |
A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints |
title_full |
A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints |
title_fullStr |
A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints |
title_full_unstemmed |
A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints |
title_sort |
A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints |
author |
Khorasani, Hamid [UNESP] |
author_facet |
Khorasani, Hamid [UNESP] Romero, Rubén [UNESP] |
author_role |
author |
author2 |
Romero, Rubén [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Khorasani, Hamid [UNESP] Romero, Rubén [UNESP] |
dc.subject.por.fl_str_mv |
Constructive Heuristic Algorithm Mixed-Integer Non-Linear Programming Multistage Transmission Expansion Planning N-1 Security |
topic |
Constructive Heuristic Algorithm Mixed-Integer Non-Linear Programming Multistage Transmission Expansion Planning N-1 Security |
description |
The transmission expansion planning (TEP) problem in modern power systems is a large-scale, mixed-integer, non-linear, and non-convex problem. The problem becomes even more complicated when the security constraints are taken into account as in some large-scale systems, finding the optimal solution is inaccessible. This paper presents a novel mathematical model to solve the security constraints of transmission system expansion planning problem via a constructive heuristic algorithm (CHA). The proposed CHA is extended to multi-stage planning. The basic idea comes from Garver’s work applied to the transportation model. Nevertheless, the proposed algorithm works with a hybrid linear model. The proposed CHA finds an acceptable solution in an iterative process, where in each step, a circuit is chosen by using a sensitivity index and is subsequently added to the system. Moreover, several simulation studies and tests were carried out on Garver, the South Brazilian system, and the North Brazilian system, to demonstrate the effectiveness of the proposed methodology. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-04-01 2022-04-29T16:11:49Z 2022-04-29T16:11:49Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.15866/iremos.v8i2.4047 International Review on Modelling and Simulations, v. 8, n. 2, p. 154-164, 2015. 2533-1701 1974-9821 http://hdl.handle.net/11449/232428 10.15866/iremos.v8i2.4047 2-s2.0-84938088807 |
url |
http://dx.doi.org/10.15866/iremos.v8i2.4047 http://hdl.handle.net/11449/232428 |
identifier_str_mv |
International Review on Modelling and Simulations, v. 8, n. 2, p. 154-164, 2015. 2533-1701 1974-9821 10.15866/iremos.v8i2.4047 2-s2.0-84938088807 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Review on Modelling and Simulations |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
154-164 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128725807529984 |